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docs: set log level to error #28

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Mar 17, 2023
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docs: set log level to error #28

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9 changes: 9 additions & 0 deletions docs/examples/disable_warnings.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,9 @@
import logging
import warnings


def disable_warnings() -> None:
"""Disable output of warnings."""

logging.root.setLevel(logging.ERROR)
warnings.filterwarnings("ignore")
67 changes: 16 additions & 51 deletions docs/examples/house_sales.ipynb
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Expand Up @@ -8,10 +8,7 @@
"The dataset contains house sale prices for King County, USA between May 2014 and May 2015. It is well suited to practice regression techniques."
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -20,19 +17,17 @@
"## Column descriptions"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"import warnings\n",
"warnings.filterwarnings(\"ignore\")\n",
"from disable_warnings import disable_warnings\n",
"\n",
"disable_warnings()\n",
"\n",
"from safeds_examples.tabular import describe_house_sales_columns\n",
"from display_column_description import display_column_descriptions\n",
Expand All @@ -41,10 +36,7 @@
"display_column_descriptions(house_sales_description)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -53,10 +45,7 @@
"## Sample"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -70,10 +59,7 @@
"house_sales.slice(end=10)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -82,10 +68,7 @@
"## Schema"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -96,10 +79,7 @@
"house_sales.schema"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -108,10 +88,7 @@
"## Statistics"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -122,10 +99,7 @@
"house_sales.summary()"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -134,10 +108,7 @@
"## Correlation heatmap"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -159,10 +130,7 @@
"correlation_heatmap(house_sales_correlation)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -175,10 +143,7 @@
"Column descriptions are based on [this Kaggle discussion](https://www.kaggle.com/datasets/harlfoxem/housesalesprediction/discussion/207885).\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
}
],
Expand All @@ -203,4 +168,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}
67 changes: 16 additions & 51 deletions docs/examples/titanic.ipynb
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Expand Up @@ -8,10 +8,7 @@
"The dataset contains information about the passengers of the Titanic and whether they survived the accident. It is well suited to practice classification techniques."
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -20,19 +17,17 @@
"## Column descriptions"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"import warnings\n",
"warnings.filterwarnings(\"ignore\")\n",
"from disable_warnings import disable_warnings\n",
"\n",
"disable_warnings()\n",
"\n",
"from safeds_examples.tabular import describe_titanic_columns\n",
"from display_column_description import display_column_descriptions\n",
Expand All @@ -41,10 +36,7 @@
"display_column_descriptions(titanic_description)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -53,10 +45,7 @@
"## Sample"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -70,10 +59,7 @@
"titanic.slice(end=10)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -82,10 +68,7 @@
"## Schema"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -96,10 +79,7 @@
"titanic.schema"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -108,10 +88,7 @@
"## Statistics"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -122,10 +99,7 @@
"titanic.summary()"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -134,10 +108,7 @@
"## Correlation heatmap"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -154,10 +125,7 @@
"correlation_heatmap(titanic_correlation)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -172,10 +140,7 @@
"> Thomas Cason of UVa has greatly updated and improved the titanic data frame using the Encyclopedia Titanica and created the dataset here. Some duplicate passengers have been dropped, many errors corrected, many missing ages filled in, and new variables created.\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
}
],
Expand All @@ -200,4 +165,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}